基于模糊双门限的高频地波雷达与AIS目标航迹关联方法

提出了一种基于模糊双门限的地波雷达与船只身份自动识别系统(automatic identification system,AIS)目标航迹关联方法,该方法主要是利用模糊隶属度来描述两条航迹间的关联程度,并通过双门限检测来确定关联的航迹对。具体讨论分析了算法中展度、权重、调整因子等参数的选取原则,最后利用2011年10月31和2013年9月6日获取的两批实测地波雷达与AIS数据将本文方法与最近邻航迹关联算法做了对比,结果表明,此方法的关联率高于最近邻航迹关联算法,并且在航迹较为复杂情况下,提出的航迹关联算法具有更好的稳定性。

Track association for high-frequency surface wave radar and AIS based on fuzzy double threshold theory

A track association method based on fuzzy double threshold theory for high frequency (HF) surface wave radar (HFSWR) and automatic identification system (AIS) is proposed. The membership degree is adopted to describe the association degree between two tracks, and double threshold detection is used to determine the associated track pairs. Strategies on how to select the critical paramenters such as etaccouters, weights, and adjustment factors are analyzed; finally, two batches of measured data in October 31, 2011 and September 6, 2013 are employed to compare the nearest neighbor association method and fuzzy association method, the result shows that fuzzy methods has a higher association rate, and has better stability than nearest neighbor method in more complex situations.